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Capital Group

Senior Machine Learning Engineer

Capital Group

Senior Machine Learning Engineer building the next generation of AI products at Capital Group. Operating at the intersection of production ML, GenAI, and data infrastructure with a focus on reliability and governance.

Posted 5/15/2026full-timeIrvine • California • 🇺🇸 United StatesSenior💰 $201,683 - $322,693 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudPython

About the role

Key responsibilities & impact
  • Architect and operate end-to-end production AI systems
  • Develop production-grade cloud-native environments optimized for AI/ML model training
  • Establish and evangelize engineering standards for AI services
  • Design scalable inference pipelines
  • Build agentic systems with multi-step reasoning
  • Apply advanced prompt engineering to deliver reliable LLM-powered features
  • Build solutions on Databricks and AWS
  • Embed data lineage, access controls, audit trails, and responsible AI practices into systems
  • Partner with product, business, and data teams

Requirements

What you’ll need
  • 7+ years of professional software engineering
  • Strong proficiency in Python
  • Experience building and operating production ML systems end-to-end
  • Hands-on experience with AWS and/or Databricks
  • Experience integrating GenAI and LLMs using advanced prompt engineering
  • Experience developing APIs (REST and streaming endpoints)
  • Strong ML fundamentals
  • Bachelor's degree in information technology, computer science, or a related field
  • Experience with data handling, including data cleaning, feature engineering, preprocessing, and exploratory data analysis

Benefits

Comp & perks
  • Enjoy generous time-away and health benefits from day one
  • Opportunity for flexible work options
  • Receive 2-for-1 matching gifts for your charitable contributions
  • Opportunity to secure annual grants for the organizations you love
  • Access on-demand professional development resources

ATS Keywords

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Hard Skills & Tools
PythonAI systemsML systemscloud-native environmentsinference pipelinesprompt engineeringAPIsdata handlingfeature engineeringexploratory data analysis
Soft Skills
engineering standardscollaborationcommunication
Certifications
Bachelor's degree in information technologyBachelor's degree in computer science